Authors - Madhulika Gajjala Abstract - The fast-paced development in digital transformation strategies has considerably transformed human resource management systems towards cloudbased, smart and efficient workforces management tools. As current HR systems face various problems like data repository fragmentation, poor connectivity options, slow synchronization processes, scalability issues, and lack of advanced workforce intelligence, the current study aims to develop an AFDHRP framework, which would comprise a CSIL, AOIE, WIMM, and ADHOU components. In addition, this research proposes the implementation of Cloud-Integrated HR Data Synchronization and Interoperability (CHDSI) algorithm and Adaptive Workforce Intelligence and HR Optimization (AWIHO) algorithm into an innovative solution. A comparison was made with the two state-of-the-art models, Deep-Hill and Deep Learning-Based ERP Optimization System, on several performance metrics including human resource integration accuracy, interoperability efficiency, synchronization reliability, workforce intelligence metric, decision support capability, cloud scalability, API ecosystem performance, and FutureReady HR Platform Effectiveness Metric. According to the results, the AFDHRP performed excellently scoring an accuracy of 99.5%, 99.2% for interoperability efficiency, 99.4% for synchronization reliability, and 99.8% for overall platform effectiveness.
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